NCT05973331

Brief Summary

The goal of this prospective observational cohort study is to validate a previously developed pancreatic cancer risk prediction algorith (the PRISM model) using electronic health records from the general population. The main questions it aims to answer are:

  • Will a pancreatic cancer risk model, developed on routine EHR data, reliably and accurately predict pancreatic cancer in real-time?
  • What is the average time from model deployment and risk prediction, to the date of pancreatic cancer development and what is the stage of pancreatic cancer at diagnosis? The risk model will be deployed on data from individuals eligible for the study. Each individual will be assigned a risk score and tracked over time to assess the model's discriminatory performance and calibration.

Trial Health

75
On Track

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Enrollment
6,134,060

participants targeted

Target at P75+ for all trials

Timeline
4mo left

Started Apr 2023

Typical duration for all trials

Geographic Reach
1 country

1 active site

Status
active not recruiting

Health score is calculated from publicly available data and should be used for screening purposes only.

Trial Relationships

Click on a node to explore related trials.

Study Timeline

Key milestones and dates

Study Progress91%
Apr 2023Sep 2026

Study Start

First participant enrolled

April 21, 2023

Completed
3 months until next milestone

First Submitted

Initial submission to the registry

July 17, 2023

Completed
16 days until next milestone

First Posted

Study publicly available on registry

August 2, 2023

Completed
2.9 years until next milestone

Primary Completion

Last participant's last visit for primary outcome

July 1, 2026

Expected
2 months until next milestone

Study Completion

Last participant's last visit for all outcomes

September 1, 2026

Last Updated

April 22, 2026

Status Verified

April 1, 2026

Enrollment Period

3.2 years

First QC Date

July 17, 2023

Last Update Submit

April 17, 2026

Conditions

Outcome Measures

Primary Outcomes (16)

  • Area under the receiver operating characteristic curve (AUROC) of PRISM for all groups stratified

    To assess the discriminatory performance of PRISM for prospective identification of high-risk individuals for PDAC development. ROCs and AUROC numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location.

    6 months from index date

  • Area under the receiver operating characteristic curve (AUROC) of PRISM for all groups stratified

    To assess the discriminatory performance of PRISM for prospective identification of high-risk individuals for PDAC development. ROCs and AUROC numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location.

    at 1 year

  • Area under the receiver operating characteristic curve (AUROC) of PRISM for all groups stratified

    To assess the discriminatory performance of PRISM for prospective identification of high-risk individuals for PDAC development. ROCs and AUROC numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location.

    at 2 years

  • Area under the receiver operating characteristic curve (AUROC) of PRISM for all groups stratified

    To assess the discriminatory performance of PRISM for prospective identification of high-risk individuals for PDAC development. ROCs and AUROC numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location.

    at 3 years

  • Calibration of PRISM for all groups stratified

    To access how well the risk prediction by PRISM aligns with observed risk without recalibration. Calibration plots will be created for the whole population and groups stratified by age, sex, race, and geographical location.

    6 months from index date

  • Calibration of PRISM for all groups stratified

    To access how well the risk prediction by PRISM aligns with observed risk without recalibration. Calibration plots will be created for the whole population and groups stratified by age, sex, race, and geographical location.

    at 1 year

  • Calibration of PRISM for all groups stratified

    To access how well the risk prediction by PRISM aligns with observed risk without recalibration. Calibration plots will be created for the whole population and groups stratified by age, sex, race, and geographical location.

    at 2 years

  • Calibration of PRISM for all groups stratified

    To access how well the risk prediction by PRISM aligns with observed risk without recalibration. Calibration plots will be created for the whole population and groups stratified by age, sex, race, and geographical location.

    at 3 years

  • PRISM performance metrics of high-risk group for direct screening

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as high-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined based on Standardized Incidence Ratio of 5 or greater. The absolute one-year risk thresholds are 0.1834% for PrismNN and 0.2048% risk for PrismLR. SIR 5 or greater was chosen because it is comparable to the current screening inclusion threshold for individuals with an inherited predisposition.

    6 months from index date

  • PRISM performance metrics of high-risk group for direct screening

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as high-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined based on Standardized Incidence Ratio of 5 or greater. The absolute one-year risk thresholds are 0.1834% for PrismNN and 0.2048% risk for PrismLR. SIR 5 or greater was chosen because it is comparable to the current screening inclusion threshold for individuals with an inherited predisposition.

    at 1 year

  • PRISM performance metrics of high-risk group for direct screening

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as high-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined based on Standardized Incidence Ratio of 5 or greater. The absolute one-year risk thresholds are 0.1834% for PrismNN and 0.2048% risk for PrismLR. SIR 5 or greater was chosen because it is comparable to the current screening inclusion threshold for individuals with an inherited predisposition.

    at 2 years

  • PRISM performance metrics of high-risk group for direct screening

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as high-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined based on Standardized Incidence Ratio of 5 or greater. The absolute one-year risk thresholds are 0.1834% for PrismNN and 0.2048% risk for PrismLR. SIR 5 or greater was chosen because it is comparable to the current screening inclusion threshold for individuals with an inherited predisposition.

    at 3 years

  • PRISM performance metrics of medium-risk group for biomarker testing

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as medium-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined by specificity 85%, with sensitivity around 46%. The absolute one-year risk thresholds are 0.0574% for PrismNN and 0.0564% for PrismLR. Prism operates as a tiered system for identifying individuals in need of screening with this lower risk threshold.

    6 months from index date

  • PRISM performance metrics of medium-risk group for biomarker testing

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as medium-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined by specificity 85%, with sensitivity around 46%. The absolute one-year risk thresholds are 0.0574% for PrismNN and 0.0564% for PrismLR. Prism operates as a tiered system for identifying individuals in need of screening with this lower risk threshold.

    at 1 year

  • PRISM performance metrics of medium-risk group for biomarker testing

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as medium-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined by specificity 85%, with sensitivity around 46%. The absolute one-year risk thresholds are 0.0574% for PrismNN and 0.0564% for PrismLR. Prism operates as a tiered system for identifying individuals in need of screening with this lower risk threshold.

    at 2 years

  • PRISM performance metrics of medium-risk group for biomarker testing

    To evaluate sensitivity, specificity, PPV, and SIR for patients identified as medium-risk by PRISM. Numbers will be calculated for the whole population and groups stratified by age, sex, race, and geographical location. Risk threshold determined by specificity 85%, with sensitivity around 46%. The absolute one-year risk thresholds are 0.0574% for PrismNN and 0.0564% for PrismLR. Prism operates as a tiered system for identifying individuals in need of screening with this lower risk threshold.

    at 3 years

Secondary Outcomes (8)

  • Timing of incident PDAC occurrence

    6 months from index date

  • Timing of incident PDAC occurrence

    at 1 year

  • Timing of incident PDAC occurrence

    at 2 years

  • Timing of incident PDAC occurrence

    at 3 years

  • Tumor stage at PDAC diagnosis

    6 months from index date

  • +3 more secondary outcomes

Study Arms (1)

prospective general opulation cohort

Males and females age \>= 40 years, without a personal history of PDAC or current PDAC, with at least 2 clinical encounters to the HCO within the year prior to the study start date.

Other: Pancreatic Cancer Risk Model (PRISM)

Interventions

A neural network model (PrismNN) and a logistic regression model (PrismLR) that use routinely collected EHR data to stratify individuals from the general population into PDAC risk groups

prospective general opulation cohort

Eligibility Criteria

Age40 Years - 100 Years
Sexall
Healthy VolunteersYes
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodNon-Probability Sample
Study Population

The cohort will be selected from 44 eligible HCOs comprised of community hospitals, outpatient clinics and academic medical centers from across the US.

You may qualify if:

  • Male and females age \>= 40 years from 44 US HCOs from the TriNetX platform
  • at least 2 clinical encounters to the HCO, within the last year, before the study start date

You may not qualify if:

  • Personal history of PDAC or current PDAC
  • Age below 40
  • Notes on sampling method: no sampling was performed. All eligible individuals are included in this study.

Contact the study team to confirm eligibility.

Sponsors & Collaborators

Study Sites (1)

Beth Israel Deaconess Medical Center

Boston, Massachusetts, 02115, United States

Location

Study Officials

  • Limor Appelbaum, MD

    Beth Israel Deaconess Medical Center

    PRINCIPAL INVESTIGATOR

Study Design

Study Type
observational
Observational Model
COHORT
Time Perspective
PROSPECTIVE
Sponsor Type
OTHER
Responsible Party
PRINCIPAL INVESTIGATOR
PI Title
Staff Scientist

Study Record Dates

First Submitted

July 17, 2023

First Posted

August 2, 2023

Study Start

April 21, 2023

Primary Completion (Estimated)

July 1, 2026

Study Completion (Estimated)

September 1, 2026

Last Updated

April 22, 2026

Record last verified: 2026-04

Data Sharing

IPD Sharing
Will not share

Locations